Didier Brunet

Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes

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Bernard Barthès

Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes

Martial Bernoux

Food and Agriculture Organization of the United Nations

Jean‐Luc Chotte

Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes

Patrick Lavelle

Sorbonne Université

Grégoire T. Freschet

Centre National de la Recherche Scientifique

Giovanni Caria

Centre National de la Recherche Scientifique

Clovis Grinand

Université de Montpellier

Dominique Arrouays

Soil Science Research Unit

Claudy Jolivet

Soil Science Research Unit

Edmond Hien

Université Joseph Ki-Zerbo

Cooperative Institutions

Institut de Recherche pour le Développement

Centre National de la Recherche Scientifique

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Université de Montpellier

Institut Agro Montpellier

Institut National de la Recherche Agronomique

Sorbonne Université

L'Institut Agro

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Determination of potential denitrification in a range of tropical topsoils using near infrared reflectance spectroscopy (NIRS)

Applied Soil Ecology (2010)

Bernard Barthès Didier Brunet Alain Brauman Nathalie Fromin Robert Lensi

10.1016/j.apsoil.2010.06.009

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Citations (13)

Subsoil improvement in a tropical coarse textured soil: Effect of deep-ripping and slotting

Soil and Tillage Research (2008)

Christian Hartmann Roland Poss Andrew Noble Jongskul Apichart Emmanuel Bourdon

Subsoil

Topsoil

Seedbed

Plough

Crop Rotation

10.1016/j.still.2008.02.009

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Citations (27)

Near infrared reflectance spectroscopy (NIRS) could be used for characterization of soil nematode community

Soil Biology and Biochemistry (2011)

Bernard Barthès Didier Brunet Bodovololona Rabary Oumar Ba Cécile Villenave

Facultative

Soil test

Topsoil

Diversity index

10.1016/j.soilbio.2011.03.023

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Citations (17)

Prediction of soil organic and inorganic carbon contents at a national scale (France) using mid‐infrared reflectance spectroscopy (MIRS)

European Journal of Soil Science (2012)

Clovis Grinand Bernard Barthès Didier Brunet Ernest Kouakoua Dominique Arrouays

This work aimed to evaluate the potential of mid‐infrared reflectance spectroscopy (MIRS) to predict soil organic and inorganic carbon contents with a 2086‐sample set representative of French topsoils (0–30 cm). Ground air‐dried samples collected regularly using a 16 × 16‐km grid were analysed for total (dry combustion) and inorganic (calcimeter) carbon; organic carbon was calculated by difference. Calibrations of MIR spectra with partial least square regressions were developed with 10–80% of the set and five random selections of samples. Comparisons between samples with contrasting organic or inorganic carbon content and regression coefficients of calibration equations both showed that organic carbon was firstly associated with a wide spectral region around 2500–3500 cm −1 (which was a reflection of its complex nature), and inorganic carbon with narrow spectral bands, especially around 2520 cm −1 . Optimal calibrations for both organic and inorganic carbon were achieved by using 20% of the total set: predictions were not improved much by including more of the set and were less stable, probably because of atypical samples. At the 20% rate, organic carbon predictions over the validation set (80% of the total) yielded mean R 2 , standard error of prediction (SEP) and RPD (ratio of standard deviation to SEP) of 0.89, 6.7 g kg −1 and 3.0, respectively; inorganic carbon predictions yielded 0.97, 2.8 g kg −1 and 5.6, respectively. This seemed appropriate for large‐scale soil inventories and mapping studies but not for accurate carbon monitoring, possibly because carbonate soils were included. More work is needed on organic carbon calibrations for large‐scale soil libraries.

Carbon fibers

Soil carbon

Total inorganic carbon

Soil test

10.1111/j.1365-2389.2012.01429.x

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Citations (76)

Near infrared spectroscopy for soil bulk density assessment

European Journal of Soil Science (2009)

Cindy Silva Moreira Didier Brunet L. Verneyre S. M. O. Sá Marcelo Valadares Galdos

Soil bulk density values are needed to convert organic carbon content to mass of organic carbon per unit area. However, field sampling and measurement of soil bulk density are labour‐intensive, costly and tedious. Near‐infrared reflectance spectroscopy (NIRS) is a physically non‐destructive, rapid, reproducible and low‐cost method that characterizes materials according to their reflectance in the near‐infrared spectral region. The aim of this paper was to investigate the ability of NIRS to predict soil bulk density and to compare its performance with published pedotransfer functions. The study was carried out on a dataset of 1184 soil samples originating from a reforestation area in the Brazilian Amazon basin, and conventional soil bulk density values were obtained with metallic “core cylinders”. The results indicate that the modified partial least squares regression used on spectral data is an alternative method for soil bulk density predictions to the published pedotransfer functions tested in this study. The NIRS method presented the closest‐to‐zero accuracy error (−0.002 g cm −3 ) and the lowest prediction error (0.13 g cm −3 ) and the coefficient of variation of the validation sets ranged from 8.1 to 8.9% of the mean reference values. Nevertheless, further research is required to assess the limits and specificities of the NIRS method, but it may have advantages for soil bulk density predictions, especially in environments such as the Amazon forest.

Pedotransfer function

Soil carbon

Soil test

10.1111/j.1365-2389.2009.01170.x

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Citations (42)

Relevance and limitations of biogenic and physicogenic classification: a comparison of approaches for differentiating the origin of soil aggregates

European Journal of Soil Science (2009)

Pascal Jouquet Anne Zangerlé Cornélia Rumpel Didier Brunet Nicolas Bottinelli

Summary Although freshly formed or unaltered biogenic aggregates are easily recognized, identifying the origin of aggregates altered by physical and biological processes remains empirical and prone to error. The aim of this study was to distinguish between biogenic (BIO) and physicogenic (PHYS) aggregates in various states of fragmentation or size classes using visual, physical and chemical characteristics. Casts produced by Amynthas khami (BIO) and surrounding soil aggregates without visible biological activity (PHYS) were left to disaggregate by natural rainfall events and then separated into five size classes of >10, 10–5, 5–2, 2–0.5 and <0.5 mm. We then analysed aggregate morphology, elemental and stable isotope composition and soil stability, and used near‐infrared spectroscopy (NIRS) to determine their chemical characteristics. Although visual assessment is the method most commonly used in the field to distinguish between BIO and PHYS, our study found that the results obtained were always prone to error and that the classification was arbitrary for BIO and PHYS aggregates smaller than 5 and 2 mm in size, respectively. Soil structural stability was only useful for identifying BIO aggregates larger than 2 mm. While C content and δ 13 C in BIO were always different from PHYS, regardless of soil aggregate size, N content and δ 15 N were similar. NIRS was the most effective method because it clearly discriminated soil aggregates on the basis of size and origin. The NIRS characteristics of BIO were also more uniform than those of PHYS, suggesting that BIO aggregates have a simpler organization and as a consequence more homogeneous ecological functions. Thus, our findings suggest that information may be lost when only the physical aspect of aggregates is used to quantify the activity of ecosystem engineers in soil. After fragmentation, BIO aggregates become hidden and although it may be impossible to distinguish them visually from PHYS aggregates they retain some of their specific chemical characteristics.

Fragmentation

10.1111/j.1365-2389.2009.01168.x

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Citations (54)

Effect of the endogeic earthworm Pontoscolex corethrurus on the microbial structure and activity related to CO2 and N2O fluxes from a tropical soil (Madagascar)

Applied Soil Ecology (2010)

Lydie Chapuis‐Lardy Alain Brauman Laëtitia Bernard Anne-Laure Pablo J. Toucet

Mesocosm

Soil microbiology

10.1016/j.apsoil.2010.04.006

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Citations (90)

Identifying earthworm's organic matter signatures by near infrared spectroscopy in different land-use systems in Tabasco, Mexico

Applied Soil Ecology (2013)

Esperanza Huerta Didier Brunet Elena Velazquez Patrick Lavelle

Epigeal

10.1016/j.apsoil.2013.01.015

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Citations (13)

Near infrared reflectance spectroscopy: A tool to characterize the composition of different types of exogenous organic matter and their behaviour in soil

Soil Biology and Biochemistry (2010)

Clément Peltre Laurent Thuriès Bernard Barthès Didier Brunet Thierry Morvan

Soil carbon

Soil test

10.1016/j.soilbio.2010.09.036

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Citations (65)

Liquid crystalline comb-like polyimides with biphenyl-based side groups

Liquid Crystals (2000)

Didier Brunet Régis Merçier Bernard Gallot

We have synthesized series of comb-like polyimides with mesogenic units in their side groups. Such comb-like polyimides were obtained by polycondensation of aromatic diamines bearing biphenyl-based mesogenic moieties with bicyclo[2,2,2]oct-7-ene 2,3,5,6-tetracarboxylic dianhydride (BCDA). The different diamines, with two lengths of spacer (with 6 and 11 methylene groups), were synthesized in three steps using as mesogenic groups: biphenyl, 4-cyanobiphenyl and 4-(2-methyl-1-butoxy)biphenyl. The synthesis of the polyimides was performed in two steps: polycondensation of a dianhydride with a diamine in N-methyl-2-pyrrolidone at room temperature giving the corresponding polyamic acid, followed by thermal cyclization into the corresponding polyimide. The comb-like polyimides were studied by X-ray diffraction between room temperature and 250°C. Two types of smectic structure were established: SmA1 for the long spacer and SmC1 for the short spacer.

Mesogen

Biphenyl

Side chain

Thermal Stability

BPDA

10.1080/026782900202679

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Citations (9)